Senior DevOps Engineer

• 7+ years of hands-on experience in software engineering, DevOps or platform engineering within complex, distributed environments. \n

• Strong programming ability in Python or Go. You should be comfortable designing and maintaining software, not just writing scripts. \n

• Deep Kubernetes expertise, including deploying, managing and improving applications at scale. \n

• Significant experience designing and building CI/CD platforms and automating the software development lifecycle. \n

• Experience supporting a central developer platform used by a large engineering organisation., * Strong knowledge of infrastructure as code, such as Terraform or Kubernetes Operators., If you’re a senior engineer with deep CI/CD and Kubernetes experience who still loves to code, we’d like to hear from you.

We are working with a global investment firm whose engineers, researchers and investment teams depend on its central platform to build, test and ship software at scale.

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This team owns critical parts of the developer experience: source control, CI/CD, artifact infrastructure, Kubernetes and the tooling that connects them. Its platforms serve more than 1,000 users, execute millions of builds each year and support systems at the heart of a demanding production environment.

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We’re looking for a senior engineer who enjoys building software as much as building infrastructure. You’ll take ownership of complex platform problems, write code, and make it faster and more reliable for other engineers to deliver their work.

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What you’ll work on:

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• Design and build CI/CD infrastructure that supports a high volume of builds across multiple engineering teams. \n

• Develop platform tooling and automation in Python or Go. \n

• Engineer and operate Kubernetes based platforms across cloud and on-premises environments. \n

• Improve source control, artifact management and the wider software delivery workflow. \n

• Build scalable APIs and infrastructure automation that give developers greater autonomy. \n

• Partner directly with engineering teams to understand bottlenecks and turn them into durable platform improvements. \n

• Contribute to observability, production reliability and the team’s on-call rotation. \n

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